If you manage a network, every network device generates a large volume of logs. These logs are extremely important and narrate a story about both events and the sequencing of those events within your network. This capability is critical for any network monitoring software, helping you easily understand network activities, user actions, security breaches, and much more.
Change is critical to growth. Especially if you’re running a business in today’s volatile market. The silver lining is that we are at the peak of innovation, moving forward from a decade filled with disruptions, catalysing transformations. Over the years, enterprise IT has evolved to play a more significant role in business. Innovation, macro-economic factors, unexpected disruptions, and other internal and external factors have caused the change.
“Try turning it off and on again.” This advice normally works for my mom, but not for me. When I needed to present at an event last year, I got frustrated when I couldn’t connect to the network. The front desk at the venue referred me to technical services. “Uh-oh,” I thought. “Here we go.” But I was wrong. The technical services person quickly assessed my level of know-how and adjusted her talk track to cater to my needs.
Last month Gartner published its first ever “Market Guide for AI Offerings in CSP Network Operations,” and we’re excited to share that Anodot has been identified as a Representative Vendor in the report. According to the Gartner report, “CSPs are focusing on automation of their network operations to improve efficiency and customer experience, and mitigate security concerns.” The market guide presents many new and actionable insights.
A few stories have emerged lately about how companies are having difficulty hiring enough people to fill key positions. These articles allege that automated talent acquisition (TA) or Applicant Tracking Systems (ATS) reject millions of candidates solely due to minor flaws in their applications such as gaps in their work histories, failing to meet a long list of exacting job requirements, or failing to use the language of the job description on their resume.
Machine learning and artificial intelligence (AI) systems have long been touted as the future of medicine. A patient can walk into a doctors office, and after a quick scan discover their risk for a variety of diseases, and be given information on how to prevent them from occurring. Patients suffering from diseases like cancer can have treatment decisions made by an AI that can optimize care and maximize likelihood of survival.
For the last two years, it’s an understatement to say we’ve witnessed big shifts in the relationship between most employees and their work environment. Many of us saw our work experience transform seemingly overnight into predominately a digital one as working from home became the ‘new normal.’
